199 machine-learning-"https:" "https:" "https:" "UCL" Postdoctoral positions in Denmark
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you are our new colleague. In EE&SB you will Have the opportunity to shape your project within our frame Teach and supervise younger scientists Go to international conferences to promote your work Be an
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polar orbit, passing near the poles about 15 times per day and regularly observing the CIFAR study region. Its payload - two optical cameras, a thermal camera, and onboard machine-learning capabilities
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background in bioinformatics, machine learning, single-cell omics, statistics, or genomic medicine, and a keen interest in obesity, diabetes, and cardiovascular disease. Background The Novo Nordisk Foundation
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: http://international.au.dk/research/ The Danish School of Education The Danish School of Education at Aarhus University is Denmark’s largest centre for research and teaching in the fields of education
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’ employment by AU. Please find more information about entering and working in Denmark here: http://international.au.dk/research/ An appointee who does not speak Danish will be required to acquire proficiency in
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. Who we are The project is led by Jesper Asring Hansen, Associate Professor at Aalborg University and principal investigator of POLSAFE (see profile: https://vbn.aau.dk/da/persons/jajh/ )The research
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at the intersection of AI, RF, and wireless communication. Your main tasks include developing machine-learning methods for wireless interference detection, mitigation, edge intelligence, and applying AI to optimize RF
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on the subject Engage meaningfully with the department’s broader research community; a minimum presence of three days on campus each week is expected Teach the equivalent of one seminar per year, which is
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100 university. Aarhus BSS has achieved the triple-crown AACSB, AMBA and EQUIS Further information If you have any questions regarding the position or want to learn more about the project and specific
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and Memorial Sloan-Kettering Cancer Center, NY. Read more about the project here: https://health.medarbejdere.au.dk/en/display/artikel/supercomputer-and-ai-to-strengthen-danish-cancer-treatment-new